Neha Mallick

13 total papers · 755 total citations
11 papers, 598 citations indexed

About

Neha Mallick is a scholar working on Molecular Biology, Pharmacology and Biomaterials. According to data from OpenAlex, Neha Mallick has authored 11 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Pharmacology and 3 papers in Biomaterials. Recurrent topics in Neha Mallick's work include Nanoparticle-Based Drug Delivery (3 papers), Protein Interaction Studies and Fluorescence Analysis (2 papers) and Characterization and Applications of Magnetic Nanoparticles (2 papers). Neha Mallick is often cited by papers focused on Nanoparticle-Based Drug Delivery (3 papers), Protein Interaction Studies and Fluorescence Analysis (2 papers) and Characterization and Applications of Magnetic Nanoparticles (2 papers). Neha Mallick collaborates with scholars based in India, Saudi Arabia and United Kingdom. Neha Mallick's co-authors include Farhan Jalees Ahmad, Mohammed Anwar, Gaurav Jain, Musarrat Husain Warsi, Faiyaz Shakeel, Mohammed Asadullah Jahangir, Abdul Muheem, Sushama Talegaonkar, Sohail Akhter and Roop K. Khar and has published in prestigious journals such as Carbohydrate Polymers, Colloids and Surfaces A Physicochemical and Engineering Aspects and Pharmacological Research.

In The Last Decade

Neha Mallick

11 papers receiving 585 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Neha Mallick	264	182	139	59	58	11	598
Nagarjun Rangaraj	243 0.9×	150 0.8×	141 1.0×	41 0.7×	78 1.3×	18	593
Karimunnisa S. Shaikh	293 1.1×	180 1.0×	152 1.1×	36 0.6×	64 1.1×	26	668
Supandeep Singh Hallan	344 1.3×	202 1.1×	125 0.9×	113 1.9×	63 1.1×	20	684
Chiung‐Hung Chang	139 0.5×	137 0.8×	124 0.9×	53 0.9×	57 1.0×	16	616
Muhammad Naeem	214 0.8×	93 0.5×	178 1.3×	53 0.9×	105 1.8×	17	610
Puneet Utreja	327 1.2×	177 1.0×	161 1.2×	55 0.9×	91 1.6×	29	657
Cristina G. Venturini	172 0.7×	116 0.6×	136 1.0×	84 1.4×	51 0.9×	11	555
Sebastián Scioli Montoto	253 1.0×	286 1.6×	168 1.2×	94 1.6×	90 1.6×	14	666
Murtada A. Oshi	217 0.8×	95 0.5×	171 1.2×	27 0.5×	88 1.5×	14	521
Sara Esposito	339 1.3×	213 1.2×	129 0.9×	53 0.9×	71 1.2×	18	655

Countries citing papers authored by Neha Mallick

Since Specialization

Citations

This map shows the geographic impact of Neha Mallick's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Neha Mallick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Mallick more than expected).

Fields of papers citing papers by Neha Mallick

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neha Mallick. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Neha Mallick. The network helps show where Neha Mallick may publish in the future.

Co-authorship network of co-authors of Neha Mallick

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Mallick. A scholar is included among the top collaborators of Neha Mallick based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Neha Mallick. Neha Mallick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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